What is the real task?
Define the audience, source material, desired output and human decision before choosing a tool.
Live-online GenAI learning · Technovids Bengaluru
Generative AI Course in Bangalore
Build practical GenAI literacy, prompting and review habits across everyday professional work—without turning a beginner course into an engineering bootcamp.
- Audience
- Professionals, managers and beginners
- Coding
- Not required for the core pathway
- Duration
- 10 hours · live online via Zoom
- Provider
- Technovids · HSR Layout head office
Direct answer
What is Generative AI Course in Bangalore?
Generative AI Course in Bangalore is a practical live-online learning route for professionals who want to understand and use generative AI responsibly. It covers how common AI assistants work at a useful conceptual level, task selection, clear prompting, document and research workflows, output verification, privacy boundaries and an introduction to RAG and agents. The core pathway does not require coding. Technovids is headquartered in HSR Layout, Bengaluru; confirmed public cohorts run through Zoom and the Technovids LMS rather than in a classroom.
Updated
Who this page is for
Relevant audiences
- Working professionals beginning structured GenAI use
- Managers and team leads reviewing AI-assisted work
- Analysts, HR, marketing, sales and operations professionals
- Founders and consultants exploring safe productivity workflows
Useful when
- You use AI casually but results are inconsistent
- You need to distinguish suitable tasks from risky or unsupported use
- You want practical workflows without learning Python
- You need a foundation before prompt engineering or AI engineering
Scope boundary: This page does not promise a fixed public date, classroom delivery, productivity percentage or engineering depth. Dates, fee and inclusions are confirmed for the scheduled cohort; the standard course runs 10 hours.
Decision guide
Use GenAI where assistance can be checked
The course helps learners choose tasks and review output rather than treating every workflow as an automation opportunity.
What data is permitted?
Use approved accounts and safe inputs; keep personal, confidential and regulated data out unless explicitly authorised.
How will output be checked?
Identify original sources, calculations, policy, tone and completeness checks before the prompt is written.
When is a deeper course needed?
Prompt engineering adds repeatability; AI Engineering adds Python, retrieval, tools, APIs and deployment.
Role-based practice
Turn AI awareness into reviewed workplace workflows
Examples are adapted to participant roles and the organisation’s approved tools, data and policies.
Research and synthesis
Frame a question, gather permitted material and produce a decision-ready summary.
- Practise
- Separate source facts, model interpretation, gaps and questions for a human owner.
- Control
- AI-generated citations and claims are checked against the original sources.
Document drafting and review
Create a first draft from an approved brief, examples and explicit constraints.
- Practise
- Review accuracy, tone, completeness, policy and audience before use.
- Control
- The model does not approve legal, HR, finance or customer commitments.
Meeting and action support
Transform approved notes or transcripts into decisions, actions and follow-up drafts.
- Practise
- Confirm owners, deadlines, sensitive details and unresolved disagreement.
- Control
- A summary cannot replace the authoritative record or accountable owner.
Analysis assistance
Use AI to explain fields, propose checks, draft formulas or organise observations.
- Practise
- Reconcile calculations to source data and distinguish evidence from interpretation.
- Control
- AI does not independently approve a forecast, financial result or operational decision.
Customer and employee communication
Draft a response from an approved brief, knowledge source and escalation rule.
- Practise
- Check personal data, policy, promise, tone and whether human escalation is required.
- Control
- High-impact or sensitive communication stays under qualified review.
Use-case prioritisation
Compare candidate workflows by value, feasibility, risk, ownership and evidence.
- Practise
- Select one bounded pilot with baseline, reviewer and stop conditions.
- Control
- Training does not authorise procurement, deployment or automated decisions.
Options
Choose the depth that matches your next task
Generative AI foundations can lead to workplace specialisation or technical application building.
This page
Generative AI foundation
Understand concepts, suitable use, prompting, verification and responsible application.
Best for: Beginners and cross-functional professionals
- No-code core
- Practical examples
- Responsible use
Prompt Engineering
Design and evaluate reusable prompts for recurring work.
Best for: People already using AI who need consistency and shared patterns
- Prompt structures
- Examples and output schemas
- Evaluation workflow
AI for Business Professionals
Apply AI more deeply across role-specific business tasks and templates.
Best for: Corporate professionals and functional teams
- Department workflows
- No coding
- Practical materials
AI Engineering
Build RAG, agents, MCP integrations and deployable services with Python.
Best for: Developers who meet the technical prerequisites
- Code-first
- Portfolio projects
- 80-hour public pathway
Generative AI course versus AI Engineering course
One teaches responsible application; the other teaches software construction.
| Decision point | Generative AI Course | AI Engineering Course |
|---|---|---|
| Coding | Not required for the core pathway | Working Python required |
| Primary outcome | Reviewed AI-assisted workflows | Built and evaluated AI applications |
| Technical depth | Conceptual RAG and agent introduction | RAG, agents, MCP, APIs and deployment |
| Best fit | Professionals using AI in their role | Developers building AI-enabled software |
Practical value
What a learner should be able to do
The course builds practical judgement and repeatable habits rather than claiming mastery of every AI tool.
Frame useful tasks
Turn a work need into a clear brief with source, audience and expected output.
Create reusable prompts
Use context, constraints, examples and format to improve repeatability.
Review output
Check facts, sources, calculations, uncertainty, privacy and accountability.
Choose a next pathway
Recognise whether self-practice, prompt engineering, role training or AI engineering is appropriate.
Method
From course enquiry to applied practice
The next confirmed cohort information is shared before enrolment, and the learning path keeps practice and review visible.
- 01
Check course fit
Share your background, current tools and goal. Chandan discusses fit first; a subject-matter expert follows up when technical depth is needed.
- 02
Review the confirmed offer
Receive the current dates, live schedule, fee, prerequisites, inclusions and cancellation or transfer terms before deciding.
- 03
Prepare accounts and environment
Complete the stated setup using your own suitable device and any accounts or paid API access required for the selected course.
- 04
Attend, practise and review
Join live Zoom classes, complete exercises or projects, use LMS resources and apply instructor feedback.
- 05
Complete the learning evidence
Submit the agreed work and receive a Technovids completion certificate with a unique website-verifiable ID when the stated requirements are met.
Public-cohort learning environment
The final agenda and exercises are supplied with the confirmed dates and fee.
Live Zoom classes
Instructor-led explanations, demonstrations, practice and questions.
Technovids LMS
Notes, assignments, lab instructions and the cohort discussion group.
Three-month recording access
Class recordings uploaded within 24 hours and available for three months.
Verifiable certificate
Technovids completion certificate with a unique website-verifiable ID when requirements are met.
Safe application
Safe use is taught inside the workflow
Participants practise AI assistance with organisational boundaries and human accountability visible at every material step.
Use approved tools and data
Accounts, confidential information, personal data and intellectual property follow the organisation’s existing policies and approved environment.
Verify consequential output
Facts, calculations, sources, tone, completeness and decision impact are checked against the original material and task.
Retain a human owner
AI can assist drafting or analysis; an accountable person still reviews the work and owns the action or decision.
Measure one bounded use case
Teams compare quality, effort, adoption and risk for a defined workflow rather than claiming generic productivity gains.
Training in action
See Technovids training in practice
Real instructor-led sessions from the Technovids delivery archive. The photographs show delivery context; they do not imply a result for a future cohort.
Photo 1 of 10: Hands-on session 
Photo 2 of 10: Group photo 
Photo 3 of 10: Hands-on session 
Photo 4 of 10: Group photo 
Photo 5 of 10: Classroom session 
Photo 6 of 10: Group photo 
Photo 7 of 10: Computer-lab session 
Photo 8 of 10: Group photo 
Photo 9 of 10: Classroom session 
Photo 10 of 10: Group photo
Trainers
Meet the Technovids trainer panel
Technovids assigns a suitable trainer after the audience, subject depth and delivery needs are confirmed.
Pankaj Rana
Co-founder & Lead Instructor, Technovids Consulting
Pankaj is a co-founder and the lead instructor at Technovids Consulting. His programme work spans practical AI adoption, AI engineering, evaluation, responsible production AI, data analytics and corporate learning design, with an emphasis on hands-on exercises connected to workplace tasks.
Expertise:
- Practical AI adoption
- Prompting and evaluation
- Responsible AI
- Corporate learning design
Junaid Khateeb
AI & Machine Learning Trainer, Strategist and Consultant
Junaid is an AI and machine-learning trainer, strategist and consultant with more than 22 years of training experience. His work combines enterprise AI education, business-centred adoption, responsible AI practices and applied solution design, helping professional audiences connect AI concepts to real organisational needs.
M.E. in Computer Engineering, specialising in Artificial Intelligence · author of programming books on Python, Java and C++
Expertise:
- Enterprise AI and ML training
- AI strategy and adoption
- Responsible AI
- Applied AI solution design
Pradeep Varadarajan
Technical Trainer & Curriculum Architect
Pradeep is a technical trainer and curriculum architect with more than 20 years of experience across enterprise technology, cloud infrastructure and advanced AI systems. He designs practitioner-focused programmes, labs and assessments covering AI, LLM systems, Python and machine learning, translating complex technical subjects into structured learning experiences.
Bachelor of Engineering in Electrical Engineering · instructor-led, virtual and blended delivery
Expertise:
- AI and LLM systems
- Curriculum architecture
- Python and machine learning
- Hands-on lab design
The proposal names or confirms the trainer assignment for the engagement; every trainer shown here does not teach every programme.
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Client & participant proof
Participant perspectives and delivery evidence
Approved feedback and real Technovids training photographs show delivery context. They do not promise the same outcome for every participant or organisation.
Organisations we have delivered training for
Practical training programmes delivered for learners, professionals and teams across AI, data, cloud, productivity and professional skills.
Participant voice
Participant experiences across workplace roles
What professionals found useful, practical and relevant to their day-to-day work.
- Karan MalhotraMarketing Director
I knew Generative AI was changing digital marketing, but I didn't know where to start without a tech background. The AI for Business Professionals course at Technovids was exactly what I needed. It completely demystified tools like ChatGPT, Claude, and Midjourney for commercial use. We are now using the prompt frameworks taught in the class to automate content generation and market research, saving us nearly 15 hours a week. Highly recommended for marketing leaders.
- Meera PillaiHead of Operations
Most AI courses are too focused on Python and coding. Technovids has created the perfect GenAI course for non-technical professionals. The modules focus heavily on business use cases, process automation, and identifying AI ROI. Learning how to integrate AI into our daily workflows and understanding the data privacy implications has given me the confidence to champion AI adoption across our operations team.
- Srishti AgarwalSenior Business Analyst
I enrolled in this program to figure out how to leverage AI for data storytelling and reporting. The practical walkthroughs on using AI tools for data analysis, specifically around Microsoft Copilot and advanced prompting for business intelligence, were eye-opening. The Technovids trainers keep it 100% practical. I walked away with actionable templates that I started using at work the very next day.
- Pooja VenkateshGeneral Manager
I have zero background in IT, so I was hesitant to take an AI course. I shouldn't have been. The trainers at Technovids explain complex AI concepts using everyday business analogies. There is absolutely no coding required. By the end of the program, I was confidently writing complex prompts to generate business proposals and competitive analysis reports. It is the perfect AI course for beginners in management.
- Tarun MehtaSales Strategy Lead
The landscape of B2B sales is shifting rapidly with AI, and this course helps you stay ahead of the curve. The training helped me understand how to leverage AI tools for personalized customer outreach, CRM data cleanup, and predictive sales insights. The real-world case studies discussed during the live sessions were incredibly valuable. If you want to use AI to drive business growth and revenue, this is the training to take.
- Siddharth JainStartup Founder
When you run a lean startup, productivity is everything. This Technovids course taught me how to use AI as a 'co-pilot' for my business. From automating sales outreach to summarizing long legal documents, the practical use cases covered in the workshops are gold. It bridges the gap between AI hype and actual business execution perfectly. Easily the best investment I’ve made in my own learning this year.
Frequently asked questions
Published answers define the page scope. A written proposal records engagement-specific terms.
How long is the Generative AI course?
The standard Generative AI course runs 10 hours, delivered live online. A private team version can be shortened or extended, and the written proposal confirms its final duration.
Is coding required for the Generative AI Course?
No for the core professional pathway. The course focuses on GenAI concepts, prompting, workplace application and review. Learners who want to build RAG, agents or integrations need a technical course with Python prerequisites.
Which AI tools are covered?
The confirmed cohort may demonstrate leading assistants such as ChatGPT, Claude, Gemini or approved workplace tools. The course teaches transferable task, prompt and review principles rather than promising equal depth in every product.
Are Generative AI classes held at the HSR Layout office?
No. HSR Layout is the Technovids head office, not a public classroom. Confirmed public cohorts run live online through Zoom. The Technovids LMS includes notes, assignments, lab instructions, a cohort discussion group and a completion certificate when requirements are met. Class recordings are uploaded within 24 hours and remain available for three months.
Does the course include RAG and AI agents?
It can introduce what RAG and agents are, where they are useful and what risks they add. Building them in code belongs to the AI Engineering or focused technical pathways.
When is the next Bangalore cohort?
Dates and fees are shared only for a confirmed cohort. Submit an enquiry to receive the current schedule, inclusions and enrolment terms.
Can companies request a private GenAI programme?
Yes. Private delivery can be customised to roles, approved tools and workplace examples and delivered live online or onsite at the client’s workplace when agreed.
Technovids Consulting
Bengaluru head office. India-wide live delivery.
2nd Floor, Chandrodaya Complex, 19/19, 24th Main Rd, near Hanuman Temple, Agara Village, 1st Sector, HSR Layout, Bengaluru, Karnataka 560102.
Please contact us before visiting the head office. The HSR Layout address is a head office, not a walk-in public classroom.